PEP 447: Slight rewording of the text
* Adds a clearer description of what would change to the abstract * Small wording tweaks in other parts * Reflow the document, lines with normal text are now shorter than 80 characters (the output from pybench and the links section still contain longer lines) * Don't use TAB characters for indentation.
This commit is contained in:
Ronald Oussoren
parent
fe9c18f3ef
commit
c3e6947b82
452
pep-0447.txt
452
pep-0447.txt
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@ -18,6 +18,28 @@ in the ``__dict__`` of classes on the MRO for a class when looking for
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an attribute. This PEP adds an optional ``__locallookup__`` method to
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a metaclass that can be used to override this behavior.
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That is, the MRO walking loop in ``_PyType_Lookup`` and
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``super.__getattribute__`` gets changed from::
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def lookup(mro_list, name):
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for cls in mro_list:
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if name in cls.__dict__:
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return cls.__dict__
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return NotFound
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to::
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def lookup(mro_list, name):
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for cls in mro_list:
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try:
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return cls.__locallookup__(name)
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except AttributeError:
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pass
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return NotFound
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Rationale
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=========
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@ -30,7 +52,8 @@ The ``__locallookup__`` method makes it possible to dynamicly add
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attributes even when looking them up using the `super class`_.
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The new method affects ``object.__getattribute__`` (and
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`PyObject_GenericGetAttr`_) as well for consistency.
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`PyObject_GenericGetAttr`_) as well for consistency and to have a single
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place to implement dynamic attribute resolution for classes.
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Background
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----------
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@ -52,16 +75,22 @@ The superclass attribute lookup hook
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====================================
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Both ``super.__getattribute__`` and ``object.__getattribute__`` (or
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`PyObject_GenericGetAttr`_ in C code) walk an object's MRO and peek in the
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class' ``__dict__`` to look up attributes. A way to affect this lookup is
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using a method on the meta class for the type, that by default looks up
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the name in the class ``__dict__``.
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`PyObject_GenericGetAttr`_ and in particular ``_PyType_Lookup`` in C code)
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walk an object's MRO and currently peek in the class' ``__dict__`` to look up
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attributes.
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With this proposal both lookup methods no longer peek in the class ``__dict__``
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but call the special method ``__locallookup__``, which is a slot defined
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on the metaclass. The default implementation of that method looks
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up the name the class ``__dict__``, which means that attribute lookup is
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unchanged unless a metatype actually defines the new special method.
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In Python code
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--------------
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A meta type can define a method ``__locallookup__`` that is called during
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attribute resolution by both ``super.__getattribute__`` and ``object.__getattribute``::
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attribute resolution by both ``super.__getattribute__``
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and ``object.__getattribute``::
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class MetaType(type):
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def __locallookup__(cls, name):
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@ -70,29 +99,30 @@ attribute resolution by both ``super.__getattribute__`` and ``object.__getattrib
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except KeyError:
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raise AttributeError(name) from None
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The ``__locallookup__`` method has as its arguments a class and the name of the attribute
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that is looked up. It should return the value of the attribute without invoking descriptors,
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or raise `AttributeError`_ when the name cannot be found.
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The ``__locallookup__`` method has as its arguments a class (which is an
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instance of the meta type) and the name of the attribute that is looked up.
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It should return the value of the attribute without invoking descriptors,
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and should raise `AttributeError`_ when the name cannot be found.
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The `type`_ class provides a default implementation for ``__locallookup__``, that
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looks up the name in the class dictionary.
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The `type`_ class provides a default implementation for ``__locallookup__``,
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that looks up the name in the class dictionary.
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Example usage
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.............
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The code below implements a silly metaclass that redirects attribute lookup to uppercase
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versions of names::
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The code below implements a silly metaclass that redirects attribute lookup to
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uppercase versions of names::
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class UpperCaseAccess (type):
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def __locallookup__(cls, name):
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return cls.__dict__[name.upper()]
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return cls.__dict__[name.upper()]
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class SillyObject (metaclass=UpperCaseAccess):
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def m(self):
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return 42
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return 42
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def M(self):
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return "fourtytwo"
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def M(self):
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return "fourtytwo"
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obj = SillyObject()
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assert obj.m() == "fortytwo"
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@ -101,44 +131,46 @@ versions of names::
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In C code
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---------
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A new slot ``tp_locallookup`` is added to the ``PyTypeObject`` struct, this slot
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corresponds to the ``__locallookup__`` method on `type`_.
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A new slot ``tp_locallookup`` is added to the ``PyTypeObject`` struct, this
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slot corresponds to the ``__locallookup__`` method on `type`_.
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The slot has the following prototype::
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PyObject* (*locallookupfunc)(PyTypeObject* cls, PyObject* name);
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This method should lookup *name* in the namespace of *cls*, without looking at superclasses,
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and should not invoke descriptors. The method returns ``NULL`` without setting an exception
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when the *name* cannot be found, and returns a new reference otherwise (not a borrowed reference).
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This method should lookup *name* in the namespace of *cls*, without looking
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at superclasses, and should not invoke descriptors. The method returns ``NULL`` without setting an exception when the *name* cannot be found, and returns a
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new reference otherwise (not a borrowed reference).
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Use of this hook by the interpreter
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-----------------------------------
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The new method is required for metatypes and as such is defined on `type_`. Both
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``super.__getattribute__`` and ``object.__getattribute__``/`PyObject_GenericGetAttr`_
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(through ``_PyType_Lookup``) use the this ``__locallookup__`` method when walking
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the MRO.
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The new method is required for metatypes and as such is defined on `type_`.
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Both ``super.__getattribute__`` and
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``object.__getattribute__``/`PyObject_GenericGetAttr`_
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(through ``_PyType_Lookup``) use the this ``__locallookup__`` method when
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walking the MRO.
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Other changes to the implementation
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-----------------------------------
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The change for `PyObject_GenericGetAttr`_ will be done by changing the private function
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``_PyType_Lookup``. This currently returns a borrowed reference, but must return a new
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reference when the ``__locallookup__`` method is present. Because of this ``_PyType_Lookup``
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will be renamed to ``_PyType_LookupName``, this will cause compile-time errors for all out-of-tree
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users of this private API.
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The change for `PyObject_GenericGetAttr`_ will be done by changing the private
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function ``_PyType_Lookup``. This currently returns a borrowed reference, but
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must return a new reference when the ``__locallookup__`` method is present.
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Because of this ``_PyType_Lookup`` will be renamed to ``_PyType_LookupName``,
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this will cause compile-time errors for all out-of-tree users of this
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private API.
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The attribute lookup cache in ``Objects/typeobject.c`` is disabled for classes that have a
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metaclass that overrides ``__locallookup__``, because using the cache might not be valid
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for such classes.
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The attribute lookup cache in ``Objects/typeobject.c`` is disabled for classes
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that have a metaclass that overrides ``__locallookup__``, because using the
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cache might not be valid for such classes.
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Performance impact
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------------------
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The pybench output below compares an implementation of this PEP with the regular
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source tree, both based on changeset a5681f50bae2, run on an idle machine an
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Core i7 processor running Centos 6.4.
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The pybench output below compares an implementation of this PEP with the
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regular source tree, both based on changeset a5681f50bae2, run on an idle
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machine an Core i7 processor running Centos 6.4.
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Even though the machine was idle there were clear differences between runs,
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I've seen difference in "minimum time" vary from -0.1% to +1.5%, with simular
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@ -146,211 +178,211 @@ I've seen difference in "minimum time" vary from -0.1% to +1.5%, with simular
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::
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-------------------------------------------------------------------------------
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PYBENCH 2.1
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-------------------------------------------------------------------------------
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* using CPython 3.4.0a0 (default, Jul 29 2013, 13:01:34) [GCC 4.4.7 20120313 (Red Hat 4.4.7-3)]
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* disabled garbage collection
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* system check interval set to maximum: 2147483647
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* using timer: time.perf_counter
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* timer: resolution=1e-09, implementation=clock_gettime(CLOCK_MONOTONIC)
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-------------------------------------------------------------------------------
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PYBENCH 2.1
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-------------------------------------------------------------------------------
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* using CPython 3.4.0a0 (default, Jul 29 2013, 13:01:34) [GCC 4.4.7 20120313 (Red Hat 4.4.7-3)]
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* disabled garbage collection
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* system check interval set to maximum: 2147483647
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* using timer: time.perf_counter
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* timer: resolution=1e-09, implementation=clock_gettime(CLOCK_MONOTONIC)
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-------------------------------------------------------------------------------
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Benchmark: pep447.pybench
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-------------------------------------------------------------------------------
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-------------------------------------------------------------------------------
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Benchmark: pep447.pybench
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-------------------------------------------------------------------------------
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Rounds: 10
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Warp: 10
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Timer: time.perf_counter
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Rounds: 10
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Warp: 10
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Timer: time.perf_counter
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Machine Details:
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Platform ID: Linux-2.6.32-358.114.1.openstack.el6.x86_64-x86_64-with-centos-6.4-Final
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Processor: x86_64
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Machine Details:
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Platform ID: Linux-2.6.32-358.114.1.openstack.el6.x86_64-x86_64-with-centos-6.4-Final
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Processor: x86_64
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Python:
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Implementation: CPython
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Executable: /tmp/default-pep447/bin/python3
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Version: 3.4.0a0
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Compiler: GCC 4.4.7 20120313 (Red Hat 4.4.7-3)
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Bits: 64bit
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Build: Jul 29 2013 14:09:12 (#default)
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Unicode: UCS4
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Python:
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Implementation: CPython
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Executable: /tmp/default-pep447/bin/python3
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Version: 3.4.0a0
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Compiler: GCC 4.4.7 20120313 (Red Hat 4.4.7-3)
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Bits: 64bit
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Build: Jul 29 2013 14:09:12 (#default)
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Unicode: UCS4
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-------------------------------------------------------------------------------
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Comparing with: default.pybench
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-------------------------------------------------------------------------------
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-------------------------------------------------------------------------------
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Comparing with: default.pybench
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-------------------------------------------------------------------------------
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Rounds: 10
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Warp: 10
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Timer: time.perf_counter
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Rounds: 10
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Warp: 10
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Timer: time.perf_counter
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Machine Details:
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Platform ID: Linux-2.6.32-358.114.1.openstack.el6.x86_64-x86_64-with-centos-6.4-Final
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Processor: x86_64
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Machine Details:
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Platform ID: Linux-2.6.32-358.114.1.openstack.el6.x86_64-x86_64-with-centos-6.4-Final
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Processor: x86_64
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Python:
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Implementation: CPython
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Executable: /tmp/default/bin/python3
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Version: 3.4.0a0
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Compiler: GCC 4.4.7 20120313 (Red Hat 4.4.7-3)
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Bits: 64bit
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Build: Jul 29 2013 13:01:34 (#default)
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Unicode: UCS4
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Python:
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Implementation: CPython
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Executable: /tmp/default/bin/python3
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Version: 3.4.0a0
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Compiler: GCC 4.4.7 20120313 (Red Hat 4.4.7-3)
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Bits: 64bit
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Build: Jul 29 2013 13:01:34 (#default)
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Unicode: UCS4
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Test minimum run-time average run-time
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this other diff this other diff
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-------------------------------------------------------------------------------
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BuiltinFunctionCalls: 45ms 44ms +1.3% 45ms 44ms +1.3%
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BuiltinMethodLookup: 26ms 27ms -2.4% 27ms 27ms -2.2%
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CompareFloats: 33ms 34ms -0.7% 33ms 34ms -1.1%
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CompareFloatsIntegers: 66ms 67ms -0.9% 66ms 67ms -0.8%
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CompareIntegers: 51ms 50ms +0.9% 51ms 50ms +0.8%
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CompareInternedStrings: 34ms 33ms +0.4% 34ms 34ms -0.4%
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CompareLongs: 29ms 29ms -0.1% 29ms 29ms -0.0%
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CompareStrings: 43ms 44ms -1.8% 44ms 44ms -1.8%
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ComplexPythonFunctionCalls: 44ms 42ms +3.9% 44ms 42ms +4.1%
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ConcatStrings: 33ms 33ms -0.4% 33ms 33ms -1.0%
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CreateInstances: 47ms 48ms -2.9% 47ms 49ms -3.4%
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CreateNewInstances: 35ms 36ms -2.5% 36ms 36ms -2.5%
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CreateStringsWithConcat: 69ms 70ms -0.7% 69ms 70ms -0.9%
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DictCreation: 52ms 50ms +3.1% 52ms 50ms +3.0%
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DictWithFloatKeys: 40ms 44ms -10.1% 43ms 45ms -5.8%
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DictWithIntegerKeys: 32ms 36ms -11.2% 35ms 37ms -4.6%
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DictWithStringKeys: 29ms 34ms -15.7% 35ms 40ms -11.0%
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ForLoops: 30ms 29ms +2.2% 30ms 29ms +2.2%
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IfThenElse: 38ms 41ms -6.7% 38ms 41ms -6.9%
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ListSlicing: 36ms 36ms -0.7% 36ms 37ms -1.3%
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NestedForLoops: 43ms 45ms -3.1% 43ms 45ms -3.2%
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NestedListComprehensions: 39ms 40ms -1.7% 39ms 40ms -2.1%
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NormalClassAttribute: 86ms 82ms +5.1% 86ms 82ms +5.0%
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NormalInstanceAttribute: 42ms 42ms +0.3% 42ms 42ms +0.0%
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PythonFunctionCalls: 39ms 38ms +3.5% 39ms 38ms +2.8%
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PythonMethodCalls: 51ms 49ms +3.0% 51ms 50ms +2.8%
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Recursion: 67ms 68ms -1.4% 67ms 68ms -1.4%
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SecondImport: 41ms 36ms +12.5% 41ms 36ms +12.6%
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SecondPackageImport: 45ms 40ms +13.1% 45ms 40ms +13.2%
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SecondSubmoduleImport: 92ms 95ms -2.4% 95ms 98ms -3.6%
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SimpleComplexArithmetic: 28ms 28ms -0.1% 28ms 28ms -0.2%
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SimpleDictManipulation: 57ms 57ms -1.0% 57ms 58ms -1.0%
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SimpleFloatArithmetic: 29ms 28ms +4.7% 29ms 28ms +4.9%
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SimpleIntFloatArithmetic: 37ms 41ms -8.5% 37ms 41ms -8.7%
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SimpleIntegerArithmetic: 37ms 41ms -9.4% 37ms 42ms -10.2%
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SimpleListComprehensions: 33ms 33ms -1.9% 33ms 34ms -2.9%
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SimpleListManipulation: 28ms 30ms -4.3% 29ms 30ms -4.1%
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SimpleLongArithmetic: 26ms 26ms +0.5% 26ms 26ms +0.5%
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SmallLists: 40ms 40ms +0.1% 40ms 40ms +0.1%
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SmallTuples: 46ms 47ms -2.4% 46ms 48ms -3.0%
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SpecialClassAttribute: 126ms 120ms +4.7% 126ms 121ms +4.4%
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SpecialInstanceAttribute: 42ms 42ms +0.6% 42ms 42ms +0.8%
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StringMappings: 94ms 91ms +3.9% 94ms 91ms +3.8%
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StringPredicates: 48ms 49ms -1.7% 48ms 49ms -2.1%
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StringSlicing: 45ms 45ms +1.4% 46ms 45ms +1.5%
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TryExcept: 23ms 22ms +4.9% 23ms 22ms +4.8%
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TryFinally: 32ms 32ms -0.1% 32ms 32ms +0.1%
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TryRaiseExcept: 17ms 17ms +0.9% 17ms 17ms +0.5%
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TupleSlicing: 49ms 48ms +1.1% 49ms 49ms +1.0%
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WithFinally: 48ms 47ms +2.3% 48ms 47ms +2.4%
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WithRaiseExcept: 45ms 44ms +0.8% 45ms 45ms +0.5%
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-------------------------------------------------------------------------------
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Totals: 2284ms 2287ms -0.1% 2306ms 2308ms -0.1%
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Test minimum run-time average run-time
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this other diff this other diff
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-------------------------------------------------------------------------------
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BuiltinFunctionCalls: 45ms 44ms +1.3% 45ms 44ms +1.3%
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BuiltinMethodLookup: 26ms 27ms -2.4% 27ms 27ms -2.2%
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CompareFloats: 33ms 34ms -0.7% 33ms 34ms -1.1%
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CompareFloatsIntegers: 66ms 67ms -0.9% 66ms 67ms -0.8%
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CompareIntegers: 51ms 50ms +0.9% 51ms 50ms +0.8%
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CompareInternedStrings: 34ms 33ms +0.4% 34ms 34ms -0.4%
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CompareLongs: 29ms 29ms -0.1% 29ms 29ms -0.0%
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CompareStrings: 43ms 44ms -1.8% 44ms 44ms -1.8%
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ComplexPythonFunctionCalls: 44ms 42ms +3.9% 44ms 42ms +4.1%
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ConcatStrings: 33ms 33ms -0.4% 33ms 33ms -1.0%
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CreateInstances: 47ms 48ms -2.9% 47ms 49ms -3.4%
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CreateNewInstances: 35ms 36ms -2.5% 36ms 36ms -2.5%
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CreateStringsWithConcat: 69ms 70ms -0.7% 69ms 70ms -0.9%
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DictCreation: 52ms 50ms +3.1% 52ms 50ms +3.0%
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DictWithFloatKeys: 40ms 44ms -10.1% 43ms 45ms -5.8%
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DictWithIntegerKeys: 32ms 36ms -11.2% 35ms 37ms -4.6%
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DictWithStringKeys: 29ms 34ms -15.7% 35ms 40ms -11.0%
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ForLoops: 30ms 29ms +2.2% 30ms 29ms +2.2%
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IfThenElse: 38ms 41ms -6.7% 38ms 41ms -6.9%
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ListSlicing: 36ms 36ms -0.7% 36ms 37ms -1.3%
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NestedForLoops: 43ms 45ms -3.1% 43ms 45ms -3.2%
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NestedListComprehensions: 39ms 40ms -1.7% 39ms 40ms -2.1%
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NormalClassAttribute: 86ms 82ms +5.1% 86ms 82ms +5.0%
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NormalInstanceAttribute: 42ms 42ms +0.3% 42ms 42ms +0.0%
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PythonFunctionCalls: 39ms 38ms +3.5% 39ms 38ms +2.8%
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PythonMethodCalls: 51ms 49ms +3.0% 51ms 50ms +2.8%
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Recursion: 67ms 68ms -1.4% 67ms 68ms -1.4%
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SecondImport: 41ms 36ms +12.5% 41ms 36ms +12.6%
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SecondPackageImport: 45ms 40ms +13.1% 45ms 40ms +13.2%
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SecondSubmoduleImport: 92ms 95ms -2.4% 95ms 98ms -3.6%
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SimpleComplexArithmetic: 28ms 28ms -0.1% 28ms 28ms -0.2%
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SimpleDictManipulation: 57ms 57ms -1.0% 57ms 58ms -1.0%
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SimpleFloatArithmetic: 29ms 28ms +4.7% 29ms 28ms +4.9%
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SimpleIntFloatArithmetic: 37ms 41ms -8.5% 37ms 41ms -8.7%
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SimpleIntegerArithmetic: 37ms 41ms -9.4% 37ms 42ms -10.2%
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SimpleListComprehensions: 33ms 33ms -1.9% 33ms 34ms -2.9%
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SimpleListManipulation: 28ms 30ms -4.3% 29ms 30ms -4.1%
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SimpleLongArithmetic: 26ms 26ms +0.5% 26ms 26ms +0.5%
|
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SmallLists: 40ms 40ms +0.1% 40ms 40ms +0.1%
|
||||
SmallTuples: 46ms 47ms -2.4% 46ms 48ms -3.0%
|
||||
SpecialClassAttribute: 126ms 120ms +4.7% 126ms 121ms +4.4%
|
||||
SpecialInstanceAttribute: 42ms 42ms +0.6% 42ms 42ms +0.8%
|
||||
StringMappings: 94ms 91ms +3.9% 94ms 91ms +3.8%
|
||||
StringPredicates: 48ms 49ms -1.7% 48ms 49ms -2.1%
|
||||
StringSlicing: 45ms 45ms +1.4% 46ms 45ms +1.5%
|
||||
TryExcept: 23ms 22ms +4.9% 23ms 22ms +4.8%
|
||||
TryFinally: 32ms 32ms -0.1% 32ms 32ms +0.1%
|
||||
TryRaiseExcept: 17ms 17ms +0.9% 17ms 17ms +0.5%
|
||||
TupleSlicing: 49ms 48ms +1.1% 49ms 49ms +1.0%
|
||||
WithFinally: 48ms 47ms +2.3% 48ms 47ms +2.4%
|
||||
WithRaiseExcept: 45ms 44ms +0.8% 45ms 45ms +0.5%
|
||||
-------------------------------------------------------------------------------
|
||||
Totals: 2284ms 2287ms -0.1% 2306ms 2308ms -0.1%
|
||||
|
||||
(this=pep447.pybench, other=default.pybench)
|
||||
(this=pep447.pybench, other=default.pybench)
|
||||
|
||||
|
||||
A run of the benchmark suite (with option "-b 2n3") also seems to indicate that
|
||||
the performance impact is minimal::
|
||||
|
||||
Report on Linux fangorn.local 2.6.32-358.114.1.openstack.el6.x86_64 #1 SMP Wed Jul 3 02:11:25 EDT 2013 x86_64 x86_64
|
||||
Total CPU cores: 8
|
||||
Report on Linux fangorn.local 2.6.32-358.114.1.openstack.el6.x86_64 #1 SMP Wed Jul 3 02:11:25 EDT 2013 x86_64 x86_64
|
||||
Total CPU cores: 8
|
||||
|
||||
### call_method_slots ###
|
||||
Min: 0.304120 -> 0.282791: 1.08x faster
|
||||
Avg: 0.304394 -> 0.282906: 1.08x faster
|
||||
Significant (t=2329.92)
|
||||
Stddev: 0.00016 -> 0.00004: 4.1814x smaller
|
||||
### call_method_slots ###
|
||||
Min: 0.304120 -> 0.282791: 1.08x faster
|
||||
Avg: 0.304394 -> 0.282906: 1.08x faster
|
||||
Significant (t=2329.92)
|
||||
Stddev: 0.00016 -> 0.00004: 4.1814x smaller
|
||||
|
||||
### call_simple ###
|
||||
Min: 0.249268 -> 0.221175: 1.13x faster
|
||||
Avg: 0.249789 -> 0.221387: 1.13x faster
|
||||
Significant (t=2770.11)
|
||||
Stddev: 0.00012 -> 0.00013: 1.1101x larger
|
||||
### call_simple ###
|
||||
Min: 0.249268 -> 0.221175: 1.13x faster
|
||||
Avg: 0.249789 -> 0.221387: 1.13x faster
|
||||
Significant (t=2770.11)
|
||||
Stddev: 0.00012 -> 0.00013: 1.1101x larger
|
||||
|
||||
### django_v2 ###
|
||||
Min: 0.632590 -> 0.601519: 1.05x faster
|
||||
Avg: 0.635085 -> 0.602653: 1.05x faster
|
||||
Significant (t=321.32)
|
||||
Stddev: 0.00087 -> 0.00051: 1.6933x smaller
|
||||
### django_v2 ###
|
||||
Min: 0.632590 -> 0.601519: 1.05x faster
|
||||
Avg: 0.635085 -> 0.602653: 1.05x faster
|
||||
Significant (t=321.32)
|
||||
Stddev: 0.00087 -> 0.00051: 1.6933x smaller
|
||||
|
||||
### fannkuch ###
|
||||
Min: 1.033181 -> 0.999779: 1.03x faster
|
||||
Avg: 1.036457 -> 1.001840: 1.03x faster
|
||||
Significant (t=260.31)
|
||||
Stddev: 0.00113 -> 0.00070: 1.6112x smaller
|
||||
### fannkuch ###
|
||||
Min: 1.033181 -> 0.999779: 1.03x faster
|
||||
Avg: 1.036457 -> 1.001840: 1.03x faster
|
||||
Significant (t=260.31)
|
||||
Stddev: 0.00113 -> 0.00070: 1.6112x smaller
|
||||
|
||||
### go ###
|
||||
Min: 0.526714 -> 0.544428: 1.03x slower
|
||||
Avg: 0.529649 -> 0.547626: 1.03x slower
|
||||
Significant (t=-93.32)
|
||||
Stddev: 0.00136 -> 0.00136: 1.0028x smaller
|
||||
### go ###
|
||||
Min: 0.526714 -> 0.544428: 1.03x slower
|
||||
Avg: 0.529649 -> 0.547626: 1.03x slower
|
||||
Significant (t=-93.32)
|
||||
Stddev: 0.00136 -> 0.00136: 1.0028x smaller
|
||||
|
||||
### iterative_count ###
|
||||
Min: 0.109748 -> 0.116513: 1.06x slower
|
||||
Avg: 0.109816 -> 0.117202: 1.07x slower
|
||||
Significant (t=-357.08)
|
||||
Stddev: 0.00008 -> 0.00019: 2.3664x larger
|
||||
### iterative_count ###
|
||||
Min: 0.109748 -> 0.116513: 1.06x slower
|
||||
Avg: 0.109816 -> 0.117202: 1.07x slower
|
||||
Significant (t=-357.08)
|
||||
Stddev: 0.00008 -> 0.00019: 2.3664x larger
|
||||
|
||||
### json_dump_v2 ###
|
||||
Min: 2.554462 -> 2.609141: 1.02x slower
|
||||
Avg: 2.564472 -> 2.620013: 1.02x slower
|
||||
Significant (t=-76.93)
|
||||
Stddev: 0.00538 -> 0.00481: 1.1194x smaller
|
||||
### json_dump_v2 ###
|
||||
Min: 2.554462 -> 2.609141: 1.02x slower
|
||||
Avg: 2.564472 -> 2.620013: 1.02x slower
|
||||
Significant (t=-76.93)
|
||||
Stddev: 0.00538 -> 0.00481: 1.1194x smaller
|
||||
|
||||
### meteor_contest ###
|
||||
Min: 0.196336 -> 0.191925: 1.02x faster
|
||||
Avg: 0.196878 -> 0.192698: 1.02x faster
|
||||
Significant (t=61.86)
|
||||
Stddev: 0.00053 -> 0.00041: 1.2925x smaller
|
||||
### meteor_contest ###
|
||||
Min: 0.196336 -> 0.191925: 1.02x faster
|
||||
Avg: 0.196878 -> 0.192698: 1.02x faster
|
||||
Significant (t=61.86)
|
||||
Stddev: 0.00053 -> 0.00041: 1.2925x smaller
|
||||
|
||||
### nbody ###
|
||||
Min: 0.228039 -> 0.235551: 1.03x slower
|
||||
Avg: 0.228857 -> 0.236052: 1.03x slower
|
||||
Significant (t=-54.15)
|
||||
Stddev: 0.00130 -> 0.00029: 4.4810x smaller
|
||||
### nbody ###
|
||||
Min: 0.228039 -> 0.235551: 1.03x slower
|
||||
Avg: 0.228857 -> 0.236052: 1.03x slower
|
||||
Significant (t=-54.15)
|
||||
Stddev: 0.00130 -> 0.00029: 4.4810x smaller
|
||||
|
||||
### pathlib ###
|
||||
Min: 0.108501 -> 0.105339: 1.03x faster
|
||||
Avg: 0.109084 -> 0.105619: 1.03x faster
|
||||
Significant (t=311.08)
|
||||
Stddev: 0.00022 -> 0.00011: 1.9314x smaller
|
||||
### pathlib ###
|
||||
Min: 0.108501 -> 0.105339: 1.03x faster
|
||||
Avg: 0.109084 -> 0.105619: 1.03x faster
|
||||
Significant (t=311.08)
|
||||
Stddev: 0.00022 -> 0.00011: 1.9314x smaller
|
||||
|
||||
### regex_effbot ###
|
||||
Min: 0.057905 -> 0.056447: 1.03x faster
|
||||
Avg: 0.058055 -> 0.056760: 1.02x faster
|
||||
Significant (t=79.22)
|
||||
Stddev: 0.00006 -> 0.00015: 2.7741x larger
|
||||
### regex_effbot ###
|
||||
Min: 0.057905 -> 0.056447: 1.03x faster
|
||||
Avg: 0.058055 -> 0.056760: 1.02x faster
|
||||
Significant (t=79.22)
|
||||
Stddev: 0.00006 -> 0.00015: 2.7741x larger
|
||||
|
||||
### silent_logging ###
|
||||
Min: 0.070810 -> 0.072436: 1.02x slower
|
||||
Avg: 0.070899 -> 0.072609: 1.02x slower
|
||||
Significant (t=-191.59)
|
||||
Stddev: 0.00004 -> 0.00008: 2.2640x larger
|
||||
### silent_logging ###
|
||||
Min: 0.070810 -> 0.072436: 1.02x slower
|
||||
Avg: 0.070899 -> 0.072609: 1.02x slower
|
||||
Significant (t=-191.59)
|
||||
Stddev: 0.00004 -> 0.00008: 2.2640x larger
|
||||
|
||||
### spectral_norm ###
|
||||
Min: 0.290255 -> 0.299286: 1.03x slower
|
||||
Avg: 0.290335 -> 0.299541: 1.03x slower
|
||||
Significant (t=-572.10)
|
||||
Stddev: 0.00005 -> 0.00015: 2.8547x larger
|
||||
### spectral_norm ###
|
||||
Min: 0.290255 -> 0.299286: 1.03x slower
|
||||
Avg: 0.290335 -> 0.299541: 1.03x slower
|
||||
Significant (t=-572.10)
|
||||
Stddev: 0.00005 -> 0.00015: 2.8547x larger
|
||||
|
||||
### threaded_count ###
|
||||
Min: 0.107215 -> 0.115206: 1.07x slower
|
||||
Avg: 0.107488 -> 0.115996: 1.08x slower
|
||||
Significant (t=-109.39)
|
||||
Stddev: 0.00016 -> 0.00076: 4.8665x larger
|
||||
### threaded_count ###
|
||||
Min: 0.107215 -> 0.115206: 1.07x slower
|
||||
Avg: 0.107488 -> 0.115996: 1.08x slower
|
||||
Significant (t=-109.39)
|
||||
Stddev: 0.00016 -> 0.00076: 4.8665x larger
|
||||
|
||||
The following not significant results are hidden, use -v to show them:
|
||||
call_method, call_method_unknown, chaos, fastpickle, fastunpickle, float, formatted_logging, hexiom2, json_load, normal_startup, nqueens, pidigits, raytrace, regex_compile, regex_v8, richards, simple_logging, startup_nosite, telco, unpack_sequence.
|
||||
The following not significant results are hidden, use -v to show them:
|
||||
call_method, call_method_unknown, chaos, fastpickle, fastunpickle, float, formatted_logging, hexiom2, json_load, normal_startup, nqueens, pidigits, raytrace, regex_compile, regex_v8, richards, simple_logging, startup_nosite, telco, unpack_sequence.
|
||||
|
||||
|
||||
Alternative proposals
|
||||
|
|
|
|||
Loading…
Reference in New Issue